Anna Lorenc
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Genetics top 5%
- Diabetes and associated disorders
Papers in
- Genetics 20
- Diabetes and associated disorders 11
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- Mitochondrial Function and Pathology 6
- Gene expression and cancer classification 4
- Co-authors
- Mark Peakman (11 shared papers)Diethard Tautz (2 shared papers)Michael Dannemann (3 shared papers)Adrian Hayday (3 shared papers)Mehmet Somel (2 shared papers)Michael Lachmann (3 shared papers)Jolanta B. Zawilska (7 shared papers)Dmitri A. Petrov (1 shared paper)
- Journals
- Diabetes (2 papers)Nature Communications (2 papers)Mitochondrion (2 papers)Bioinformatics (2 papers)Poultry Science (1 paper)
- Partner nations
- United KingdomPolandGermany
In The Last Decade
Anna Lorenc
44 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 117
- Immunology 397
- Genetics 501
- Aging 26
- Endocrine and Autonomic Systems 82
- Endocrinology, Diabetes and Metabolism 196
Countries citing papers authored by Anna Lorenc
This map shows the geographic impact of Anna Lorenc's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anna Lorenc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Lorenc more than expected).
Fields of papers citing papers by Anna Lorenc
This network shows the impact of papers produced by Anna Lorenc. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anna Lorenc. The network helps show where Anna Lorenc may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Lorenc, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 253 | |
| 2 | 2014 | 178 | |
| 3 | 2019 | 139 | |
| 4 | 2012 | 107 | |
| 5 | 2016 | 105 | |
| 6 | 2017 | 66 | |
| 7 | 2022 | 60 | |
| 8 | 2018 | 47 | |
| 9 | 2005 | 38 | |
| 10 | 2003 | 36 | |
| 11 | 2007 | 35 | |
| 12 | 2003 | 31 | |
| 13 | 2022 | 27 | |
| 14 | 2016 | 27 | |
| 15 | 2018 | 25 | |
| 16 | 2017 | 24 | |
| 17 | 2020 | 22 | |
| 18 | 2017 | 20 | |
| 19 | 2023 | 17 | |
| 20 | 2022 | 17 |
About Anna Lorenc
Anna Lorenc is a scholar working on Genetics, Molecular Biology, Immunology, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes and associated disorders (11 papers), Immune Cell Function and Interaction (10 papers), Circadian rhythm and melatonin (7 papers), Diabetes Management and Research (6 papers), T-cell and B-cell Immunology (6 papers), Mitochondrial Function and Pathology (6 papers), Pancreatic function and diabetes (5 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Immunology (397 citations), Genetics (501 citations), Aging (26 citations), Endocrine and Autonomic Systems (82 citations) and Endocrinology, Diabetes and Metabolism (196 citations). Anna Lorenc has collaborated with scholars based in United Kingdom, Poland and Germany. Frequent co-authors include Mark Peakman, Diethard Tautz, Michael Dannemann, Adrian Hayday, Mehmet Somel, Michael Lachmann, Jolanta B. Zawilska, Dmitri A. Petrov, Kun Tang and Fabian Staubach. Their work appears in journals such as Diabetes, Nature Communications, Mitochondrion, Bioinformatics and Poultry Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.